Beyond New Horizons, LLC (BNH) is looking to improve the AEDC ground test data infrastructure, facility operations, and business systems by leveraging data to drive decisions.
Requirements
- Experience with data scripting language software like Python, Java, C++, or Ruby and SQL.
- Experience with data extraction tools and processes, data ingestion, ETL, data mining, API’s and data warehousing.
- Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
- Coding knowledge and experience with multiple languages
- Experience with development lifecycle methodologies such as Agile DevSecOps.
- Experience working with and creating data architectures.
- Demonstrated experience in a data engineering role.
Responsibilities
- Development and implement data-engineering strategies and programs.
- Utilize test data sources to optimize data analytics at AEDC and suggest ways which insights obtained might be used to inform testing sustainment and operational strategies.
- Automate manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Utilize machine learning tools to select features, create, and optimize classifiers.
- Define & develop approaches and demonstrate abilities to mine and analyze data from databases to drive optimization and improvement of data collected at AEDC.
- Identify and assess the effectiveness of data engineering, data sources and data gathering techniques.
- Utilize applicable experience in “big data”, analytics, algorithmic, custom data models, algorithms and/or machine learning approaches to help extract data that will help drive engineering decisions.
Other
- Current U.S. Citizenship is required.
- BS in Computer Science, Statistics, Mathematics, Engineering or another relevant engineering field from an accredited university program plus a minimum of 5 years of progressive and relevant experience.
- It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
- Must be able to work occasionally outside normal business hours.
- Master’s or PhD degree in Computer Science, Statistics, Mathematics, Physics, Engineering or another relevant engineering field from an accredited university program.
